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The Conjunction and Disjunction Fallacies

Explanations of the Linda Problem by the Equate-to-Differentiate Model

Bibliographic Data

ID6071484
AuthorsYong Lu (0000-0001-5226-5113, Cardinal Stefan Wyszynski University in Warsaw, corresponding author)
Year2016
Volume50
Issue3
Pages507-531
Publication date2016-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueIntegrative Psychological and Behavioral Science (JOURNAL)
Journal identifiersISSN: 1932-4502 • E-ISSN: 1936-3567
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s12124-015-9314-6
PMID26077336
OpenAlexW620581087
LanguageEN
Citations received3
References cited63

We propose the use of the equate-to-differentiate model (Li, S. (2004), Equate-to-differentiate approach, Central European Journal of Operations Research, 12) to explain the occurrence of both the conjunction and disjunction fallacies. To test this model, we asked participants to judge the likelihood of two multi-statements and their four constituents in two modified versions of the Linda problem in two experiments. The overall results underpin this pragmatic model's inference and also reveal that (1) single conjunction and disjunction fallacies are most prevalent, (2) the incidence of the conjunction fallacy is proportional to the distance between the constituent probabilities, and (3) some participants misinterpreted A ∧ B either as ¬ A ∧ B or A ∨ B. The findings were generally consistent with the configural weighted average model (Nilsson, H., Winman, A., Juslin, P., & Hansson, G. (2009), Linda is not a bearded lady, Journal of Experimental Psychology: General, 138) and the potential surprise conceptual framework (Fisk, J. E. (2002), Judgments under uncertainty, British Journal of Psychology, 93)

Cognitive psychology · Conjunction (astronomy · Econometrics · Epistemology · Fallacy · Inference · Surprise · Term (time · Test (biology · Computer Science · Decision-Making and Behavioral Economics · Economic and Environmental Valuation · Mathematics · Multi-Criteria Decision Making · Philosophy · Psychology · Social Psychology · Artificial Intelligence

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Unique citing works3
Citations per year0,6
Citation span2021 - 2024 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3

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